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Record W4210249358 · doi:10.5206/tba.v2i1.13445

Translating Tongzhi: Splintering Sexual Identity in Hong Kong

2020· article· en· W4210249358 on OpenAlexvenueno aff
Desmond O’Doherty

Bibliographic record

Venuetba Journal of Art Media and Visual Culture · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHong Kong and Taiwan Politics
Canadian institutionsnot available
Fundersnot available
KeywordsGender studiesSubversionHuman sexualitySociologyAppropriationIdentity (music)Context (archaeology)Sexual identityHeteronormativityPolitical sciencePoliticsHistoryLaw

Abstract

fetched live from OpenAlex

This article aims to illustrate the appropriation of the term ‘tongzhi, 同志’ in the formation of LGBT+ identity in (post-)colonial Hong Kong tracing the splintering of sexual identity and development of tongzhi from sexual deviant to sexual citizen. It examines three distinct waves (1980s, 1990s, and 2000s) within which the term ‘tongzhi’ has been translated in each context acting as a tool of resistance and subversion. This research adopts a Foucauldian perspective of sexuality and George L. Mosse’s conceptualization of nationalism to analyze how the identity of sexual minorities have been marginalized, problematized, and regulated by three locales of power following the colonization of Hong Kong. ‘Sexual citizenship’ is employed to analyze the transformation of tongzhi during the tongzhi movement’s campaign to decriminalize homosexual activity, develop a community, and acquire the status of citizen.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.354

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.368
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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